class_docstr: A linear value function (baseline) based on features.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
      reg_coeff (float): Regularization coefficient.
      name (str): Name of baseline.
docstr: Set param values.
  
  Args:
      flattened_params (np.ndarray): A numpy array of parameter values.
docstr_tok: ["Set","param","values",".","Args",":","flattened_params","(","np.ndarray",")",":","A","numpy","array","of","parameter","values","."]
code: def set_param_values(self, flattened_params):
      """Set param values.
  
      Args:
          flattened_params (np.ndarray): A numpy array of parameter values.
  
      """
      self._coeffs = flattened_params
  
file_path: garage/src/garage/np/baselines/linear_feature_baseline.py
imports: import numpy
  from garage.np.baselines.baseline import Baseline
label_desc: Use image node_id 3 for calling the LinearFeatureBaseline obj's underlying member method code with example usage: obj.set_param_values(flattened_params) without return types